mirror-ai

mirror-ai

3.2

If you are the rightful owner of mirror-ai and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Mirror-AI is a versatile MCP server designed to provide personalized avatar creation and sticker generation services.

Mirror-AI MCP Server is a comprehensive platform that allows users to create personalized avatars and a vast collection of stickers tailored to individual preferences. It offers seamless integration into applications, enabling creative uses of personalized imagery. The server supports advanced features such as avatar creation, sticker collection, face recognition, token management, and flexible styling options. Users can upload photos, customize avatars with various attributes, and generate stickers that can be used creatively within applications. Mirror-AI is ideal for applications requiring user-centric customization and enhances user engagement through its unique offerings.

Features

  • Avatar Creation: Generate personalized avatars by uploading photos and selecting various attributes like hats, glasses, and hair styles.
  • Sticker Collection: Access a collection of over 2000 stickers that can be customized to match users' avatars.
  • Face Recognition: Utilize advanced face recognition capabilities to estimate attributes such as age and gender.
  • Token Management: Securely manage and operate face data using token-based authentication.
  • Flexible Styles: Choose from different styles such as 'kenga' and 'anime' to personalize avatars and stickers further.

Tools

  1. Apply Parts

    Retrieve IDs of parts currently applied to the face and explore available options.

  2. Apply Selected Parts

    Apply chosen parts to customize the avatar's appearance.

  3. Generate Face

    Remove a generated face that is no longer needed.

  4. Save Generated Face

    Save a generated face for future use.

  5. Generate Emoji Face with a Photo

    Upload a photo to create an emoji avatar.

  6. Token Management

    Obtain a token for managing face data securely.

  7. Face Recognition Attributes

    Retrieve estimated attributes like age and gender from the uploaded photo.

  8. Stickers Collection

    Obtain a URL for a sticker based on the generated face and style. Styles include 'kenga' and 'anime'.